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Agnieszka Chadzynska-Krasowska
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2020 – today
- 2020
- [c8]Dominik Slezak
, Agnieszka Chadzynska-Krasowska:
Approximate Decision Tree Induction over Approximately Engineered Data Features. IJCRS 2020: 376-384
2010 – 2019
- 2019
- [c7]Andrzej Janusz
IEEE BigData 2019 Cup: Suspicious Network Event Recognition. IEEE BigData 2019: 5881-5887 - 2018
- [c6]Dominik Slezak
Ranking Mutual Information Dependencies in a Summary-based Approximate Analytics Framework. HPCS 2018: 852-859 - [c5]Agnieszka Chadzynska-Krasowska:
Similarity-Based Accuracy Measures for Approximate Query Results. IPMU (2) 2018: 515-527 - 2017
- [c4]Dominik Slezak
Scalable cyber-security analytics with a new summary-based approximate query engine. IEEE BigData 2017: 1840-1849 - [c3]Agnieszka Chadzynska-Krasowska, Pawel Betlinski, Dominik Slezak
Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection. ISMIS 2017: 519-529 - [c2]Agnieszka Chadzynska-Krasowska, Sebastian Stawicki, Dominik Slezak
A Metadata Diagnostic Framework for a New Approximate Query Engine Working with Granulated Data Summaries. IJCRS (1) 2017: 623-643 - 2016
- [c1]Agnieszka Chadzynska-Krasowska, Marcin Kowalski:
Quality of Histograms As Indicator Of Approximate Query Quality. FedCSIS 2016: 9-15
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